Estimates can be unstable if multicollinearity is too high, say if only richer more educated districts use a certain type if voting machine.
Considering how drastically wrong they got things.
You could also read this as him being weasels from the get go. From what I've seen, that's not warranted in his case.
A last point I always have to remind myself of: human psychology just doesn't do stats well. That's why we have these tools. Kinda like quantum physics or relativity. We are smart enough to figure out the math, but the results—or our interpretations of them— don't always jive with our intuitions.
So if one of your axes is "economic protectionism", another is "level of state intervention in the economy" and a third is "nationalism", and fascism is pegged to the max on all of those, it's not too unreasonable to call it "national" (because of the first and third axes) and "socialist" (because of the second).
Anyway, the problem was the actual companies conducting polls.
- If Trump wins, chances are he looses the popular vote - Likely polling errors are not independent across states
You can't take the result of one election and decide if Nate Silver is right or wrong in his probability. Instead, you have to take his many predictions and see how accurate they are; do his 90% predictions come true 90% of the time, do his 80% predictions come true 80% of the time, etc.
You can't take one time where he said Hillary had a 70% chance of winning, and say he was wrong because she lost.
Also, he actually did predict both the Cubs and Trump back on May 10th, albeit as a joke:
https://mobile.twitter.com/NateSilver538/status/801222961541...